Instructions to use SeFi-Image/SeFi-Image-1B-turbo-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SeFi-Image/SeFi-Image-1B-turbo-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SeFi-Image/SeFi-Image-1B-turbo-diffusers", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
SeFi-Image Diffusers checkpoint
This repository is a Diffusers-format conversion of SeFi-Image/SeFi-Image-1B-turbo. The original checkpoint is not modified by the
conversion. Refer to the source model card for model details, limitations, and responsible-use guidance.
import torch
from diffusers import SeFiPipeline
pipe = SeFiPipeline.from_pretrained(
"SeFi-Image/SeFi-Image-1B-turbo-diffusers", dtype=torch.bfloat16
).to("cuda")
image = pipe(
"A red apple on a wooden table.",
num_inference_steps=4,
guidance_scale=1.0,
).images[0]
image.save("sefi.png")
License
The checkpoint is distributed under the Creative Commons Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0). It is for non-commercial use only.
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Model tree for SeFi-Image/SeFi-Image-1B-turbo-diffusers
Base model
SeFi-Image/SeFi-Image-1B-turbo